dc.contributor.author Shi, Zheng dc.contributor.author Ma, Shaodan dc.contributor.author Yang, Guanghua dc.contributor.author Alouini, Mohamed-Slim dc.date.accessioned 2018-04-16T11:27:42Z dc.date.available 2018-04-16T11:27:42Z dc.date.issued 2018-03-19 dc.identifier.citation Shi Z, Ma S, Yang G, Alouini M-S (2018) Energy-Efficient Optimization for HARQ Schemes over Time-Correlated Fading Channels. IEEE Transactions on Vehicular Technology: 1–1. Available: http://dx.doi.org/10.1109/TVT.2018.2813981. dc.identifier.issn 0018-9545 dc.identifier.issn 1939-9359 dc.identifier.doi 10.1109/TVT.2018.2813981 dc.identifier.uri http://hdl.handle.net/10754/627501 dc.description.abstract Energy efficiency of three common hybrid automatic repeat request (HARQ) schemes including Type I HARQ, HARQ with chase combining (HARQ-CC) and HARQ with incremental redundancy (HARQ-IR), is analyzed and joint power allocation and rate selection to maximize the energy efficiency is investigated in this paper. Unlike prior literature, time-correlated fading channels is considered and two widely concerned quality of service (QoS) constraints, i.e., outage and goodput constraints, are also considered in the optimization, which further differentiates this work from prior ones. Using a unified expression of asymptotic outage probabilities, optimal transmission powers and optimal rate are derived in closed-forms to maximize the energy efficiency while satisfying the QoS constraints. These closed-form solutions then enable a thorough analysis of the maximal energy efficiencies of various HARQ schemes. It is revealed that with low outage constraint, the maximal energy efficiency achieved by Type I HARQ is $\frac{1}{4\ln2}$ bits/J, while HARQ-CC and HARQ-IR can achieve the same maximal energy efficiency as $\frac{\kappa_\infty}{4\ln2}$ bits/J where $\kappa_\infty = 1.6617$. Moreover, time correlation in the fading channels has a negative impact on the energy efficiency, while large maximal allowable number of transmissions is favorable for the improvement of energy efficiency. The effectiveness of the energy-efficient optimization is verified by extensive simulations and the results also show that HARQ-CC can achieve the best tradeoff between energy efficiency and spectral efficiency among the three HARQ schemes. dc.description.sponsorship National Natural Science Foundation of China[61601524] dc.description.sponsorship Research Committee of University of Macau[MYRG2014- 00146-FST, MYRG2016-00146-FST] dc.description.sponsorship Macau Science and Technology Development Fund[020/2015/AMJ, 091/2015/A3] dc.publisher Institute of Electrical and Electronics Engineers (IEEE) dc.relation.url http://ieeexplore.ieee.org/document/8319455/ dc.rights (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. dc.subject Decoding dc.subject Energy efficiency dc.subject Fading channels dc.subject hybrid automatic repeat request dc.subject Optimization dc.subject power allocation and rate selection dc.subject Power system reliability dc.subject Probability dc.subject Quality of service dc.subject time-correlated fading channels dc.subject Wireless communication dc.title Energy-Efficient Optimization for HARQ Schemes over Time-Correlated Fading Channels dc.type Article dc.contributor.department Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division dc.contributor.department Electrical Engineering Program dc.contributor.department EE, KAUST, Thuwal, N/A Saudi Arabia 69000 dc.identifier.journal IEEE Transactions on Vehicular Technology dc.eprint.version Post-print dc.contributor.institution Electrical and Computer Engineering, University of Macau, Macao, Macao Macao dc.contributor.institution Electrical and Computer Engineering, University of Macau, Macao, Macao Macao 853 dc.contributor.institution Institute of Physical Internet, Jinan University Zhuhai College, 162687 Zhuhai, Guangdong China kaust.person Alouini, Mohamed-Slim refterms.dateFOA 2018-06-14T04:19:22Z
﻿

### Files in this item

Name:
08319455.pdf
Size:
502.2Kb
Format:
PDF
Description:
Accepted Manuscript